48 lines
1.2 KiB
Python
48 lines
1.2 KiB
Python
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from typing import NamedTuple, Union, Dict, Iterator, Any
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_SearchTree = Dict[str, Union['_SearchTree', dict[str, dict[str, Any]]]]
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_SEARCH_TREE: _SearchTree
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class EmojiMatch:
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emoji: str
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start: int
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end: int
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data: dict[str, Any] | None
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def __init__(self, emoji: str, start: int,
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end: int, data: dict | None): ...
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def data_copy(self) -> Dict[str, Any]: ...
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def is_zwj(self) -> bool: ...
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def split(self) -> EmojiMatchZWJ | EmojiMatch: ...
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def __repr__(self) -> str: ...
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class EmojiMatchZWJ(EmojiMatch):
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def __init__(self, match: EmojiMatch): ...
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def join(self) -> str: ...
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def is_zwj(self) -> bool: ...
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def split(self) -> EmojiMatchZWJ: ...
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def __repr__(self) -> str: ...
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class EmojiMatchZWJNonRGI(EmojiMatchZWJ):
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def __init__(self, first_emoji_match: EmojiMatch,
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second_emoji_match: EmojiMatch): ...
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class Token(NamedTuple):
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chars: str
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value: str | EmojiMatch
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def tokenize(string, keep_zwj: bool) -> Iterator[Token]: ...
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def filter_tokens(matches: Iterator[Token], emoji_only: bool,
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join_emoji: bool) -> Iterator[Token]: ...
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def get_search_tree() -> _SearchTree: ...
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